import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("lopi999/Wan2.2-I2V_General-NSFW-LoRA", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("Nesslovver/d33pthrotgag")
prompt = "-"
image = pipe(prompt).images[0]d33pthrotgag
- Prompt
- -
Model description
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Trigger words
You should use d33pthrotgag to trigger the image generation.
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Wan-AI/Wan2.2-I2V-A14B